Use Python, PySpark, and SQL as a Product Analytics Data Scientist with TD in Toronto, developing insights for personal lending decisions.
As part of TD’s Canadian Personal Banking Analytics, Insights and Artificial Intelligence team, you will support Credit Cards and Personal Lending. You will translate stakeholder needs into analytical solutions, interpret complex data, and inform enterprise-wide decisions. The acquisition and engagement team supports TD’s credit cards product function.
Key Responsibilities: Own data-driven solutions for Canadian Personal Line of Credit
Gather requirements and translate business needs into analytical solutions
Prepare large datasets using Python, PySpark, and SQL
Visualize insights for technical and business decision-makers




Collaborate on scalable machine learning and data science solutions
Requirements: Three or more years of relevant data science experience
Academic background in mathematics, statistics, or computer science
Experience with Tableau, Power BI, Databricks, Python, PySpark, and SQL
Robust problem-solving and communication skills
Knowledge of consumer lending is preferred
Apply data science, visualization, and stakeholder partnership skills to advance TD’s personal lending analytics in Toronto.

#J-18808-Ljbffr

📌 Product Analytics Data Scientist (Quebec City)
🏢 TD
📍 Quebec City